KR102470574B1 - Space information processing method automatically separating virtual space into a plurality of areas based on separation ratio - Google Patents

Abstract

The technical idea of the present invention relates to a spatial information processing method for automatically dividing a virtual space into a plurality of regions on the basis of a division ratio, which acquires necessary information without actually seeing the inside of a space. According to one embodiment of the present invention, the spatial information processing method for a virtual space performed by at least one processor comprises the steps of: acquiring division ratio information; dividing a virtual space into a plurality of regions based on the division ratio information; determining a requested area from the plurality of regions; extracting region data corresponding to the requested region from spatial data of the virtual space; and outputting the region data.

Description

Spatial information processing method for automatically partitioning a virtual space into a plurality of areas based on a division ratio

The present invention relates to a spatial information processing method for processing information on virtual space for simulation.

Digital twin refers to a technology that predicts the result in advance by creating a twin of a real object on a computer and simulating a situation that may occur in reality with a computer. These digital twins are attracting attention as a technology that can solve problems not only in manufacturing but also in various industries and societies. Basically, it is a combination of data and information representing the structure, context, and operation of various physical systems. It is an interface that allows us to understand past and current operating conditions and predict the future.

On the other hand, interior architectural design refers to interior space design, and is commonly used as the word interior design, interior design, or interior, and refers to the work of planning and shaping the interior of a building to suit each purpose and use. The problem with such interior architectural design is that most of the cases are designed for interiors that have not been actually built or confirmed, although the design that is most suitable for the actual structure must be selected and an appropriate interior layout must be performed. It's about not getting information.

Therefore, there has been a need to easily acquire various information necessary for interior architectural design through combination with the digital twin.

An object of the present invention is to provide a spatial information processing method for automatically partitioning a virtual space into a plurality of areas so as to easily acquire various types of information necessary for interior architectural design.

A spatial information processing method for a virtual space performed by at least one processor according to a technical concept of the present invention includes obtaining section ratio information, dividing the virtual space into the plurality of areas based on the section ratio information. The method may include: determining a requested area from among the plurality of areas, extracting area data corresponding to the requested area from spatial data of the virtual space, and outputting the area data.

In an embodiment, dividing the virtual space into the plurality of areas based on the division ratio information may include: obtaining wall information from the space data; dividing the virtual space into walls based on the wall information; and dividing a public area corresponding to the segmentation ratio information among the areas divided by the wall into detailed areas based on the segmentation ratio information.

In an embodiment, the obtaining of the segment ratio information may include receiving the segment ratio information.

In an embodiment, the obtaining of the section ratio information may include obtaining the section ratio information based on the shape of the common area from a section ratio table.

In one embodiment, the dividing into detailed areas may include dividing the common area into a plurality of rectangles, dividing the plurality of rectangles into at least one detail based on at least one of an aspect ratio and a size of the plurality of rectangles. The method may include partitioning an area, and partitioning an unzoned area of the common area into at least one detailed area based on the segmentation ratio information.

In one embodiment, the step of dividing an unzoned area of the common area into at least one detailed area based on the segmentation ratio information may include dividing the at least one detailed area by using a virtual line parallel to the wall. The method may include partitioning the unpartitioned area so that the ratio is the same as the section ratio corresponding to the section ratio information.

In an embodiment, the step of partitioning an unzoned area of the common area into at least one detailed area based on the segmentation ratio information may include determining a location of a detailed area object included in the common area based on the spatial data. The method may include determining and partitioning at least one detailed area by dividing the unzoned area at the segmentation ratio so as to include the position of an object in the detailed area.

In an embodiment, the step of partitioning at least one detailed area by partitioning the unzoned area at the division ratio to include the position of the object of the detailed area may include determining whether the object of the detailed area is an essential object or a selected object. If the object of the detailed area is an essential object, dividing the unzoned area into the detailed area to include the essential object, If the object of the detailed area is a selection object, the selection object is different In the case where the region is not partitioned, the step of dividing into the detailed region may be included.

In an embodiment, the step of dividing an unzoned area of the common area into at least one detailed area based on the segmentation ratio information may include a location of a living area object included in the unzoned area based on the spatial data. identifying the living room area, dividing the living room area by partitioning the unzoned area at a division ratio so that the living room area object is included in the living room area, and defining an area not partitioned as the living room area among the unzoned areas as the kitchen area. A segmentation step may be included.

In the step of partitioning the unzoned area of the common area into at least one detailed area based on the segmentation ratio information, the step of locating a kitchen area object included in the unzoned area based on the spatial data; Partitioning the kitchen area by partitioning the unzoned area at a division ratio so that the kitchen area object is included in the kitchen area, and dividing an area not partitioned into the kitchen area among the unzoned areas into a living area. can do.

In one embodiment, the spatial information processing method includes the steps of classifying a plurality of spatial data divided into at least a part of a living room area, a kitchen area, a corridor area, and a front door area by type of common area by using artificial intelligence; The method may further include calculating a division ratio for each shape of the common area with respect to spatial data and generating a division ratio information table by matching an average value of the calculated division ratio with the shape of the common area.

According to the technical idea of the present invention, by automatically partitioning a virtual space into a plurality of areas and acquiring various information on each divided area through digital twin-based space data, when a user performs interior architectural design, It is possible to obtain various kinds of necessary information without actually seeing the inside.

1 is a block diagram showing a spatial information processing system according to an exemplary embodiment of the present invention.
2 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.
3 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.
4 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.
5 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.
6 is a table showing a section ratio information table according to an exemplary embodiment of the present invention.
7 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.
8 to 10 are diagrams illustrating spatial information processing methods according to exemplary embodiments of the present invention.
11 is a block diagram illustrating a computing system including a spatial information processing system according to an exemplary embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the technical idea of the present invention is not limited to the following embodiments and can be implemented in various different forms, only the following embodiments complete the technical idea of the present invention, and in the technical field to which the present invention belongs It is provided to fully inform those skilled in the art of the scope of the present invention, and the technical spirit of the present invention is only defined by the scope of the claims.

In adding reference numerals to components of each drawing, it should be noted that the same components have the same numerals as much as possible even if they are displayed on different drawings. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used in a meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined. Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase.

In addition, in describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order, or order of the corresponding component is not limited by the term. When an element is described as being “connected,” “coupled to,” or “connected” to another element, that element is directly connected or connectable to the other element, but there is another element between the elements. It will be understood that elements may be “connected”, “coupled” or “connected”.

As used herein, "comprises" and/or "comprising" means that a stated component, step, operation, and/or element is one or more other components, steps, operations, and/or elements. Existence or additions are not excluded.

Components included in one embodiment and components including common functions may be described using the same names in other embodiments. Unless stated to the contrary, descriptions described in one embodiment may be applied to other embodiments, and detailed descriptions will be omitted to the extent of overlapping or to the extent that those skilled in the art can clearly understand. can

Hereinafter, some embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Hereinafter, the present invention will be described in detail with reference to preferred embodiments and accompanying drawings of the present invention.

1 is a block diagram showing a spatial information processing system according to an exemplary embodiment of the present invention.

Referring to FIG. 1, the spatial information processing system 100 may refer to a system that provides various kinds of spatial information necessary for a user using spatial data (Dat_SD), and spatial data (Dat_SD) actually exists based on a digital twin. It may mean data that digitally implements information on virtual spaces corresponding to various spaces. (e.g., lighting, windows, furnishings, furniture, etc.), and a floor plan for each building of the apartment, and may be provided as a CAD file In addition, in this specification, spatial information refers to information necessary for a space in which a user actually exists (e.g., For example, the length of the wall, the area of the wall, the number of outlets, the number and location of doors, the number and location of windows), and the spatial information processing system 100 generates spatial information based on the spatial data (Dat_SD). can be provided to users.

The spatial information processing system 100 may collectively refer to a server that performs a spatial information processing method and an operating computer that operates the server. In one embodiment, the spatial information processing system 100 may perform a spatial information processing method using an application program such as a website or an application. In this specification, the spatial information processing system 100 or the spatial information An operation performed by a component included in the processing system 100 may actually be an operation performed by a processor of the spatial information processing system 100 using an application program stored in a storage device of the spatial information processing system 100 .

The storage device may include a non-volatile memory, a volatile memory, a flash-memory, a hard disk drive (HDD), or a solid state drive (SSD). Also, the processor may include at least one of a Central Processing Unit (CPU), a Graphic Processing Unit (GPU), a Neural Processing Unit (NPU), a RAM, a ROM, a system bus, and an application processor.

The spatial information processing system 100 may be connected to various devices (eg, user terminals) through a wired or wireless communication network, and the spatial information processing system 100 may operate as a communication hub for various terminals. A terminal (not shown) of a user may refer to a terminal operated by a user who wants to acquire spatial information, and includes a laptop, a personal computer (PC), a navigation system, a personal communication system (PCS), and a global System for Mobile communications), Personal Digital Cellular (PDC), Personal Handyphone System (PHS), Personal Digital Assistant (PDA), International Mobile Telecommunication (IMT)-2000, Code Division Multiple Access (CDMA)-2000, W-CDMA ( W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smart pad (Smartpad), tablet PC (Tablet PC), cellular phone (Cellular Phone), smart phone (Smart phone).

The spatial information processing system 100 may receive the area data request Req_AD and output area data Dat_AR corresponding to the area data request Req_AD. In one example, the spatial information processing system 100 may receive an area data request (Req_AD) from a user's terminal and output area data (Dat_AR) in response thereto, and the area data request (Req_AD) is required by the user. It may correspond to items of spatial information, and the area data (Dat_AR) may correspond to spatial information required by the user.

It may include a region partitioning unit 110, a data extraction unit 120, and a spatial data DB (DB_SD). The region dividing unit 110 may receive the region data request Req_AD and spatial data Dat_SD corresponding to the region data request Req_AD from the spatial data DB DB_SD. The area partitioning unit 110 may partition the virtual space included in the spatial data (Dat_SD) into a plurality of areas and transmit sectioned area information (Info_SA) for the divided areas to the data extraction unit 120. have. In an embodiment, the region partitioning unit 110 may partition the virtual space into a plurality of regions based on section ratio information included in the section ratio information table T_SI. In this specification, the segmentation ratio may represent the area ratio between detailed areas of the common area.

The data extraction unit 120 may receive the segmented area information Info_SA from the area dividing unit 110 and spatial data Dat_SD from the spatial data DB DB_SD. The data extraction unit 120 determines the requested area corresponding to the area data request Req_AD from the spatial data Dat_SD based on the segmented area information Info_SA, and from the spatial data Dat_SD based on the determined requested area. Request data (Dat_AR) corresponding to the region data request (Req_AD) may be obtained. The data extractor 120 may output the acquired requested data (Dat_AR) to an external device (eg, a user terminal).

According to the technical idea of the present invention, the spatial information processing system 100 automatically divides a virtual space into a plurality of regions and outputs region data (Dat_AR) required by the user to the user based on the divided regions, thereby enabling the user to The user can easily obtain necessary spatial information without partitioning a separate area.

2 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention.

Referring to FIGS. 1 and 2 , the spatial information processing system 100 may divide a virtual space into a plurality of regions (S100). In one embodiment, the spatial information processing system 100 may automatically divide a plurality of regions using division ratio information. The spatial information processing system 100 may receive a request for spatial information corresponding to a partial region of the virtual space from the outside (eg, a user terminal) (S200). The spatial information processing system 100 determines a requested area corresponding to a request among a plurality of areas (S300), extracts area data (Dat_AR) corresponding to the requested area from spatial data (Dat_SD) (S400), and extracts Area data (Dat_AR) can be output to the outside (S500)

In one example, the spatial information processing system 100 may automatically divide a plan view of a space included in the spatial data Dat_SD into a plurality of areas such as a living room, a kitchen, and a room. When the spatial information processing system 100 receives a request for information on the wall length of the living room from the user, it extracts only information on the length of the wall of the living room from the spatial data (Dat_SD), and converts the length of the wall of the living room into area data. (Dat_AR) can be output to the user terminal.

3 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention. In detail, FIG. 3 is a diagram showing in detail the step (S100) of dividing the virtual space of FIG. 2 into a plurality of regions.

Referring to FIGS. 1 and 3 , the spatial information processing system 100 may acquire section ratio information (S110). In one embodiment, the spatial information processing system 100 may acquire section ratio information by receiving section ratio information from an outside (eg, user terminal). In another embodiment, the spatial information processing system 100 may obtain section ratio information corresponding to the virtual space from the section ratio information table T_SI.

The spatial information processing system 100 may acquire wall information from spatial data (Dat_SD) (S120). In this specification, wall information may indicate information about a location where a wall exists in a virtual space. The space information processing system 100 may partition the virtual space into areas separated by walls based on the wall information (S130). In one example, the space information processing system 100 may partition a room area, a bathroom area, and a common area from a virtual space based on wall information. In this specification, the common area may refer to an area that is not divided by a wall but is divided and utilized according to a location (eg, an integral space of a kitchen and a living room).

The spatial information processing system 100 may divide the common area into detailed areas (eg, a kitchen area and a living room area) based on the division ratio information (S140). According to an embodiment of the present invention, by dividing the virtual space into a plurality of areas based on wall information and segmentation ratio information, the virtual space can be automatically divided into a plurality of areas even if the user does not directly designate the area. .

4 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention. In detail, FIG. 4 is a diagram showing in detail the step of dividing the common area of FIG. 3 into detailed areas (S140).

Referring to FIGS. 1 and 4 , the spatial information processing system 100 may partition the common area into a plurality of rectangles (S141). The spatial information processing system 100 may determine the corridor area and the entrance area based on the aspect ratio and size of the plurality of rectangles (S142).

In one embodiment, the spatial information processing system 100 may partition an area corresponding to a relatively small rectangle as a front door area. In another embodiment, the spatial information processing system 100 may divide an area including a front door object (eg, a front door and a shoe rack) into a front door area. According to an embodiment of the present invention, the spatial information processing system 100 can easily identify the entrance area from a common space that is not divided by a wall by partitioning a relatively small size or a rectangle including the entrance object into the entrance area. have.

In one embodiment, the spatial information processing system 100 may divide an area corresponding to a rectangle having a relatively large or small aspect ratio into a corridor area. That is, the spatial information processing system 100 may partition a rectangle having a relatively large or small horizontal-to-vertical ratio as a corridor area. Since the corridor is relatively long in width or length, a rectangle with an aspect ratio relatively greater than or equal to 1 may correspond to the corridor. According to an embodiment of the present invention, the spatial information processing system 100 can easily determine the corridor area from a common space that is not divided by walls by partitioning the corridor area based on the aspect ratio.

The spatial information processing system 100 may partition the living area and the kitchen area based on the segmentation ratio information for the unzoned area excluding the corridor area and the entrance area from among the common areas (S142).

5 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention. In detail, FIG. 5 is a diagram showing in detail the step S143 of dividing the living room area and the kitchen area based on the division ratio information of FIG. 4 .

Referring to FIGS. 1 and 5 , the spatial information processing system 100 may acquire section ratio information (S143_1). The section ratio information may indicate ratio information for at least some of the detailed areas included in the common area.

The spatial information processing system 100 may determine the locations of the living area object and the kitchen area object included in the unzoned area of the common area based on the spatial data (Dat_SD) (S143_2). In this specification, an object may represent various equipment included in a space. In addition, the living room area object is an object mainly included in the living room area, and may include, for example, diffuse lighting, a point wall, and a window, and the kitchen area object is an object mainly included in the kitchen area, for example, focused lighting. (spotlight), faucet, and countertop.

In one embodiment, the spatial information processing system 100 may determine the living area by partitioning the unzoned area at a division ratio so that the living area object is included in the living area (S143_3). Also, the spatial information processing system 100 may determine the rest of the area determined as the living room area as the kitchen area.

In one embodiment, the spatial information processing system 100 may determine the living room area by partitioning the unzoned area at a division ratio so that the kitchen area object is included in the kitchen area (S143_3). Also, the spatial information processing system 100 may determine the remaining area of the area determined as the kitchen area as the living room area.

According to an embodiment of the present invention, the spatial information processing system 100 determines the detailed area based on the object and divides the area using the division ratio, so that even a common space that is not divided by a wall can be accurately divided into detailed areas. have.

In one embodiment, the spatial information processing system 100 divides objects into essential objects and selected objects, divides detailed areas such that essential objects are included, and includes selected objects only when they are not included in other detailed areas. Detailed areas can be divided as much as possible. In this specification, an essential object may mean an object necessarily included in a corresponding detailed area, and a selection object may mean an object mainly included in a corresponding detailed area but may also be included in other detailed areas.

In one example, the spatial information processing system 100 may determine a countertop necessarily included in a kitchen as an essential kitchen object, determine a focused light as a selected kitchen object, divide an area including a countertop into a kitchen area, When an area including intensive lighting is not included in other detailed areas, the corresponding area may be determined as the kitchen area.

According to an embodiment of the present invention, the spatial information processing system 100 can divide a common area for an accurate purpose by dividing a detailed area into essential objects and selected objects.

6 is a table showing a section ratio information table according to an exemplary embodiment of the present invention.

Referring to FIGS. 1 and 6 , the spatial information processing system 100 may determine a section ratio based on a section ratio information table (T_SI). In one embodiment, the section ratio may indicate an area ratio between subregions, and in another embodiment, the section ratio may indicate a wall length ratio between subregions.

In general, the ratio of detailed areas may vary depending on the shape of the common area. In one example, when the common space has a square shape (CAS1), the division ratio of the living area to the kitchen area may be determined as the first ratio (SR1), and when the common space has a square shape (CAS2), the kitchen area The division ratio of the living room area to the living room area may be determined as the second ratio (SR2), and when the common space has a vertically long rectangular shape (CAS3), the division ratio of the living area to the kitchen area may be determined as the third ratio (SR3). can

According to an embodiment of the present invention, the common area can be divided into precise detailed areas by dividing the common space according to the division ratio determined based on the shape of the common area.

7 is a flowchart illustrating a spatial information processing method according to an exemplary embodiment of the present invention. In detail, FIG. 7 shows a method of generating the section ratio information table (T_SI) of FIG. 1 .

Referring to FIGS. 1 and 7 , the spatial information processing system 100 may use an artificial intelligence classification module to classify a plurality of spatial data each divided into a plurality of areas according to the type of common area (S51). At this time, the spatial information processing system 100 is an algorithm for artificial intelligence, a machine learning model, a convolutional neural network (CNN), a deep neural network (DNN), n AI models such as n-layers neural networks and Recurrent Neural Networks (RNN) can be used.

The spatial information processing system 100 may classify a plurality of spatial data according to the type of common space and calculate a division ratio according to the type of the divided common space (S52). The spatial information processing system 100 may generate a section ratio information table (T_SI) by matching the average value of the calculated section ratio with the shape of the common area (S53).

According to an embodiment of the present invention, the spatial information processing system 100 may obtain information on a division ratio for each type from a plurality of spatial data by utilizing artificial intelligence, and accordingly, an accurate division ratio information table (T_SI) This can be easily created.

8 to 10 are diagrams illustrating spatial information processing methods according to exemplary embodiments of the present invention. In detail, FIGS. 8 to 10 show spatial data (Dat_SD) partitioned into a plurality of areas by a spatial information processing method.

1 and 8, the spatial information processing system 100 extracts wall information (WL) from spatial data (Dat_SD), and based on the wall information (WL), a first room partitioned by a wall from a virtual space. The area RA1, the second room area RA2, and the bathroom area TA may be partitioned. The spatial information processing system 100 may divide an area not partitioned by walls into a common area CA.

Referring to FIGS. 1 and 9 , the spatial information processing system 100 may partition the common space CA into a plurality of rectangles RS1 and RS2. The spatial information processing system 100 may partition the plurality of rectangles RS1 and RS2 into at least one detailed area by using the size and aspect ratio of the plurality of rectangles RS1 and RS2. In the example of FIG. 9 , the spatial information processing system 100 partitions a relatively small first rectangle RS1 into an entrance area and partitions a second rectangle RS2 having a horizontally long aspect ratio into a corridor area. can Also, the spatial information processing system 100 may maintain an area remaining as the largest rectangle as an unzoned area CA.

Referring to FIGS. 1 and 10 , the spatial information processing system 100 may partition an unzoned area CA using a virtual line horizontal to a wall based on a division ratio. In one embodiment, the spatial information processing system 100 may obtain a division ratio from the outside. In another embodiment, the spatial information processing system 100 may obtain a section ratio from the section ratio information table T_SI based on the shape of the unzoned area CA. In the example of FIG. 10 , the spatial information processing system 100 may obtain a segmentation ratio corresponding to the unzoned area CA from the segmentation ratio information table T_SI since the unzoned area CA has a vertically long rectangular shape.

The spatial information processing system 100 divides the unzoned area CA into a kitchen area KA and a living room area LA by dividing the unzoned area CA with an area ratio corresponding to the obtained division ratio. In one embodiment, the spatial information processing system 100 may determine the positions of the kitchen area KA and the living area LA by using the object, and in the example of FIG. 10 , the area including the faucet is the kitchen area ( KA), and the area including the window may be determined as the living room area LA.

According to an embodiment of the present invention, the spatial information processing system 100 can classify a virtual space into an accurate space by classifying detailed areas based on a division ratio, and can provide accurate spatial information to a user.

11 is a block diagram illustrating a computing system including a spatial information processing system according to an exemplary embodiment of the present invention.

Referring to FIG. 11 , a computing system 1000 may include a processor 1100, a memory device 1200, a storage device 1300, a power supply 1400, and an input/output device 1500. Meanwhile, although not shown in FIG. 11 , the computing system 1000 may further include ports capable of communicating with video cards, sound cards, memory cards, USB devices, etc., or with other electronic devices. .

As described above, the processor 1100, the memory device 1200, the storage device 1300, the power supply 1400, and the input/output device 1500 included in the computing system 1000 are an embodiment according to the technical idea of the present invention. A spatial information processing method according to the above may be performed. Specifically, the processor 1100 may perform the spatial information processing method described above with reference to FIGS. 1 to 10 by controlling the memory device 1200, the storage device 1300, the power supply 1400, and the input/output device 1500. have.

Processor 1100 may perform certain calculations or tasks. Depending on the embodiment, the processor 1100 may be a micro-processor or a central processing unit (CPU). The processor 1100 includes a memory device 1200, a storage device 1300, and an input/output device 1500 through a bus 1600 such as an address bus, a control bus, and a data bus. can communicate with According to an embodiment, the processor 1100 may also be connected to an expansion bus such as a Peripheral Component Interconnect (PCI) bus.

The memory device 1200 may store data necessary for the operation of the computing system 1000 . For example, the memory device 1200 may be implemented with DRAM, mobile DRAM, SRAM, PRAM, FRAM, RRAM, and/or MRAM. have. The storage device 1300 may include a solid state drive, a hard disk drive, a CD-ROM, and the like. The memory device 1200 and the storage device 1300 may store programs related to the spatial information processing method described above with reference to FIGS. 1 to 10 .

The input/output device 1500 may include input means such as a keyboard, keypad, and mouse, and output means such as a printer and a display. The power supply 1400 may supply an operating voltage necessary for the operation of the computing system 1000 .

As above, exemplary embodiments have been invented in the drawings and specification. Embodiments have been described using specific terms in this specification, but they are only used for the purpose of explaining the technical spirit of the present invention, and are not used to limit the scope of the present invention described in the meaning or claims. Therefore, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

Claims (11)

A spatial information processing method for a virtual space performed by at least one processor,
obtaining section ratio information;
dividing the virtual space into a plurality of regions based on the division ratio information;
determining a requested area from among the plurality of areas;
extracting region data corresponding to the requested region from spatial data of the virtual space; and
and outputting the area data;
Dividing the virtual space into the plurality of areas based on the division ratio information includes:
obtaining wall information from the spatial data;
dividing the virtual space into areas separated by walls based on the wall information;
Among the areas divided by the wall, a common area corresponding to the division ratio information and including a corridor area, a kitchen area, and a living room area not divided by a wall is determined based on the division ratio information, Including; dividing into the living room area,
The step of dividing into the corridor area, the kitchen area, and the living room area,
dividing the common area into a plurality of rectangles;
dividing a rectangle having a relatively large aspect ratio of the plurality of rectangles into the corridor area;
locating living area objects and kitchen area objects included in the common area based on the spatial data; and
The living room area object is included in the living room area, and the kitchen area object is included in the kitchen area by partitioning an unzoned area excluding the corridor area among the common areas at the division ratio so that the kitchen area and the living room area are formed. A spatial information processing method comprising the step of partitioning. delete According to claim 1,
The step of obtaining the division ratio information,
A spatial information processing method comprising receiving the section ratio information from the outside. According to claim 1,
The step of obtaining the division ratio information,
and obtaining the section ratio information based on the shape of the common area from a section ratio table. delete delete delete According to claim 1,
The step of determining the locations of the living area object and the kitchen area object included in the common area based on the spatial data,
determining whether the living room area object and the kitchen area object are required objects or selected objects;
if the living room area object and the kitchen area object are essential objects, dividing the unzoned area into the living room area or the kitchen area to include the essential object;
and if the living area object and the kitchen area object are selection objects, partitioning the selection object into the living room area or the kitchen area if the selection object is not partitioned into another area. delete delete According to claim 1,
Classifying a plurality of spatial data divided into at least a part of a living room area, a kitchen area, a corridor area, and a front door area by shape of a common area using artificial intelligence;
calculating a division ratio for each type of common area with respect to the plurality of spatial data; and
The spatial information processing method further comprising generating a section ratio information table by matching the calculated average value of the section ratio with the shape of the common area.

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